Technology

A modern stack for changing data.

Tools earn their place here by holding up under production pressure: sources that change hourly, volumes that grow quarterly, and downstream teams who need interfaces that stay still while internals evolve. Every component is boring in the best sense, and every seam between them is engineered on purpose.

Why these tools

Selected for the job, reviewed every quarter.

No stack is permanent. We re-examine each choice as volumes grow and requirements sharpen, so the architecture follows your market rather than our habits.

PythonCollection and processing coreFastAPIService and delivery layerNext.jsInterfaces and internal toolsPostgreSQLRelational source of recordMongoDBFlexible document storageAWSCloud execution platformDockerRepeatable deployment unitsAI / MLApplied intelligence components
Reference architecture

Four layers, engineered seams.

01 · Sources

Marketplaces, retailer sites, feeds and documents, accessed respectfully and logged completely.

02 · Collection and extraction

Adaptive capture plus schema-driven structuring, with quality scoring on every batch.

03 · Data layer

Relational and document stores holding versioned, replayable histories of observed reality.

04 · Delivery

APIs, feeds, dashboards and alerts, each with a contract that downstream teams can trust.